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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Processing and Analysis | - Data preprocessing techniques - Feature engineering |
| Topic 2: AI Application Deployment and Operations | - AI service monitoring and optimization - Inference service deployment |
| Topic 3: Huawei AI Development Platform (ModelArts) | - Dataset management - ModelArts usage and workflow - Model training and deployment on ModelArts |
| Topic 4: AI Model Development | - Model training and evaluation - Hyperparameter tuning |
| Topic 5: Artificial Intelligence Fundamentals | - Machine learning basics - Introduction to AI concepts - Deep learning fundamentals |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Compared with the batch gradient descent method, which of the following options are the advantages of the mini-batch gradient descent method? (Multiple choice)
A) Fast calculation speed in one parameter update
B) No gradient disappearance
C) Short time consumption
D) Stability
2. If the metrics parameter is not specified during Model.compile, the loss value will not be output.
A) False
B) True
3. Inversion in image processing refers to the inversion of pixel grayscale values.
A) False
B) True
4. Which of the following is not a NLP language feature?
A) Single word features
B) Text Features
C) Contextual word features
D) Texture features
5. Through image algorithms, the foreground and background of a person in a photo taken with an ordinary mobile phone are segmented, and then () operations are performed on () parts to achieve a blur effect similar to that of a SLR camera.
A) Background, mean filter
B) Background, median filter
C) Foreground, median filter
D) Foreground, mean filter
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: A |
